Without shared understanding, hardly any group learning takes place. Though much has been written about the essence of shared understanding, less is known about how to assess the ...
We propose a class of actor-oriented statistical models for closed social networks in general, and friendship networks in particular. The models are random utility models develope...
Gerhard G. Van De Bunt, Marijtje A. J. Van Duijn, ...
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
Perhaps the most successful agent architectures, and certainly the best known, are those based on the Belief-Desire-Intention (BDI) framework. Despite the wealth of research that ...